Leonardo Goliatt da Fonseca
Orcid: 0000-0002-2844-9470
According to our database1,
Leonardo Goliatt da Fonseca
authored at least 43 papers
between 2007 and 2024.
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Bibliography
2024
Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection.
J. Intell. Manuf., January, 2024
2023
An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution.
Neural Comput. Appl., October, 2023
An evolutionary-assisted machine learning model for global solar radiation prediction in Minas Gerais region, southeastern Brazil.
Earth Sci. Informatics, September, 2023
Hybrid machine learning methods combined with computer vision approaches to estimate biophysical parameters of pastures.
Evol. Intell., August, 2023
An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling.
Neural Comput. Appl., June, 2023
Evol. Intell., April, 2023
Machine learning-based classification of bronze alloy cymbals from microphone captured data enhanced with feature selection approaches.
Expert Syst. Appl., April, 2023
Development of a hybrid computational intelligent model for daily global solar radiation prediction.
Expert Syst. Appl., 2023
2022
A Data-Driven Time-Series Fault Prediction Framework for Dynamically Evolving Large-Scale Data Streaming Systems.
Int. J. Fuzzy Syst., 2022
2021
Nat. Comput., 2021
Unsupervised machine learning techniques to prevent faults in railroad switch machines.
Int. J. Crit. Infrastructure Prot., 2021
Neural network boosted with differential evolution for lithology identification based on well logs information.
Earth Sci. Informatics, 2021
Automatic Evolutionary Settings of Machine Learning Methods for Buildings' Thermal Loads Prediction.
Proceedings of the Progress in Artificial Intelligence, 2021
Proceedings of the Progress in Artificial Intelligence, 2021
Multitask Learning for Predicting Natural Flows: A Case Study at Paraiba do Sul River.
Proceedings of the Progress in Artificial Intelligence, 2021
2020
Proceedings of the Intelligent Systems Design and Applications, 2020
Automated Extreme Learning Machine to Forecast the Monthly Flows: A Case Study at Zambezi River.
Proceedings of the Intelligent Systems Design and Applications, 2020
Hybrid Extreme Learning Machine and Backpropagation with Adaptive Activation Functions for Classification Problems.
Proceedings of the Intelligent Systems Design and Applications, 2020
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020
Extreme Learning Machine with Evolutionary Parameter Tuning Applied to Forecast the Daily Natural Flow at Cahora Bassa Dam, Mozambique.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020
2019
A Lithology Identification Approach Based on Machine Learning With Evolutionary Parameter Tuning.
IEEE Geosci. Remote. Sens. Lett., 2019
Insight About Nonlinear Dimensionality Reduction Methods Applied to Protein Molecular Dynamics.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019
Gradient Boosting Ensembles for Predicting Heating and Cooling Loads in Building Design.
Proceedings of the Progress in Artificial Intelligence, 2019
Proceedings of the Progress in Artificial Intelligence, 2019
2018
Extreme Learning Machine combined with a Differential Evolution algorithm for lithology identification.
RITA, 2018
Classification of Short Circuit GMA Welding using Type-1 and Singleton Fuzzy Logic System.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
An Extreme Learning Machine with Feature Selection for Estimating Mechanical Properties of Lightweight Aggregate Concretes.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017
A Differential Evolution Algorithm for Computing Caloric-Restricted Diets - Island-Based Model.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Machine Learning Approaches to Estimate Simulated Cardiac Ejection Fraction from Electrical Impedance Tomography.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2016, 2016
2012
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012
A study on fitness inheritance for enhanced efficiency in real-coded genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Evol. Intell., 2011
2010
Comparing Two Constraint Handling Techniques in a Binary-Coded Genetic Algorithm for Optimization Problems.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010
Proceedings of the Artificial Immune Systems, 9th International Conference, 2010
2009
A similarity-based surrogate model for expensive evolutionary optimization with fixed budget of simulations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007